Qiyuan Peng

ORCID: 0000-0003-1931-8273
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About
Contact & Profiles
Research Areas
  • Railway Systems and Energy Efficiency
  • Transportation Planning and Optimization
  • Railway Engineering and Dynamics
  • Traffic Prediction and Management Techniques
  • Urban and Freight Transport Logistics
  • Simulation and Modeling Applications
  • Evaluation and Optimization Models
  • Maritime Ports and Logistics
  • Evaluation Methods in Various Fields
  • Transportation and Mobility Innovations
  • Urban Transport and Accessibility
  • Evacuation and Crowd Dynamics
  • Infrastructure Resilience and Vulnerability Analysis
  • Vehicle Routing Optimization Methods
  • Transport and Economic Policies
  • Advanced Manufacturing and Logistics Optimization
  • Human Mobility and Location-Based Analysis
  • Outsourcing and Supply Chain Management
  • Electrical Contact Performance and Analysis
  • Advanced Decision-Making Techniques
  • Traffic control and management
  • Civil and Geotechnical Engineering Research
  • Transport and Logistics Innovations
  • Aviation Industry Analysis and Trends
  • Bach Studies and Logistics Development

Southwest Jiaotong University
2016-2025

China Railway Signal & Communication (China)
2020

Chengdu University
2013

Science and Technology Department of Sichuan Province
2013

Chongqing Jiaotong University
2006-2011

China United Network Communications Group (China)
2007

Xihua University
2007

Harbin Institute of Technology
2007

East China Jiaotong University
2007

10.1016/j.tre.2016.07.015 article EN Transportation Research Part E Logistics and Transportation Review 2016-09-11

10.1016/j.physa.2021.126517 article EN Physica A Statistical Mechanics and its Applications 2021-10-13

10.1016/j.tre.2016.02.002 article EN Transportation Research Part E Logistics and Transportation Review 2016-02-27

Chinese high-speed railways faced large development in the recent years. Their performance is still confronted with disruptions, which impact traffic and passengers. With aim to better understand influences of sources we study statistical characteristics causes disruptions delayed traffic. We use maximum likelihood estimation determine probability density distribution different disruption source. A zero-truncated negative binomial model then developed link amount This important sources. can...

10.1016/j.ifacol.2016.07.015 article EN IFAC-PapersOnLine 2016-01-01

An urban rail transit (URT) system is an important component of infrastructure system; however, it vulnerable to disturbances, such as natural disasters and terrorist attacks. Constructing a highly resilient URT network has practical significance for enhancing its capability respond disturbances. In this paper, models are developed optimize network’s structure with regard resilience enhance the disrupted network. A bi-level programming model that aims maximize global accessibility efficiency...

10.1177/03611981211037888 article EN Transportation Research Record Journal of the Transportation Research Board 2021-08-27

Operational disturbances within 30 min, namely, short-term operational (STODs), occur frequently during the daily operation of an urban rail transit (URT) system. Therefore, there is urgent need to assess a network's ability respond STODs improve its level. The resilience URT network jointly considering turn-back operations, occurrence time STODs, and passenger travel experience addressed. By alternatives under we assessed by utilizing ratio average loss time-dependent performance indicator,...

10.1109/tits.2022.3195937 article EN IEEE Transactions on Intelligent Transportation Systems 2022-08-15
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